In situ analysis of capsule endoscopy images and preliminary results

Authors:
Xiaona Wang;Max Q.-H. Meng
Affiliations:
Department of Electronic Engineering, the Chinese University of Hong Kong, Hong Kong SAR;Department of Electronic Engineering, the Chinese University of Hong Kong, Hong Kong SAR
Venue:
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Year:
2009

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Abstract

Capsule endoscopy has been proved efficient in examining the small intestine. A lot of work has been devoted to the study of capsule videos to assist the diagnosis. Different from previous approaches which worked off-line and couldn't be applied in active capsule controls, in this paper we proposed an in situ capsule video analysis method, which operates in real-time and provides the first event detection-based scheme for capsule techniques. Specifically, first we established a theoretical computing framework. The method addresses two key points: one is to merge the surgeon's expertise into the system, and the other is to identify unusual events. Then we evaluated the method by some empirical experiments. The preliminary results verified the usefulness of the method.